How Self‑Programming AI Agents Are Built: From LLM Brain to Dynamic Code Execution
This article explains how a self‑programming AI Agent is constructed by extending large language models as the brain, designing a multi‑area architecture, implementing memory layers, prompt engineering with segment mechanisms, and enabling code generation and execution through a Python‑Java bridge, while sharing practical insights and future directions.
